Answer:
0.0101 < p < 0.1499
Explanation:
In a sample with a number n of people surveyed with a probability of a success of
, and a confidence level of
, we have the following confidence interval of proportions.

In which
z is the zscore that has a pvalue of
.
Out of 100 adult residents sampled, 8 had kids. Based on this, construct a 99%.
This means that

99% confidence level
So
, z is the value of Z that has a pvalue of
, so
.
The lower limit of this interval is:

The upper limit of this interval is:

Express your answer in tri-inequality form.
0.0101 < p < 0.1499